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dc.contributor.authorArntz, Melanieen
dc.contributor.authorWilke, Ralf A.en
dc.date.accessioned2009-02-16T14:48:57Z-
dc.date.available2009-02-16T14:48:57Z-
dc.date.issued2005-
dc.identifier.urihttp://hdl.handle.net/10419/24113-
dc.description.abstractIn many situations the applied researcher wants to combine different data sourceswithout knowing the exact link and merging rule. This paper introduces a theoreticalframework how two different regional administrative data sources can be merged. Itpresents different merging schemes based on the area size of intersections betweenboth regional entities. Estimates of intersection areas are derived from a digital mapintersection. The theoretical framework derives conditions for the unbiasedness ofestimated intersections and merging rules. The paper also presents conditions underwhich the choice of merging rule does not matter and illustrates the theoretical resultswith a simulation study. An application to German counties and federal employmentoffice districts illustrates the applicability of the approach. It delivers merging schemesfor regional data sources of the federal German statistical office and of the federalGerman employment office.en
dc.language.isoengen
dc.publisher|aZentrum für Europäische Wirtschaftsforschung (ZEW) |cMannheimen
dc.relation.ispartofseries|aZEW Discussion Papers |x05-20en
dc.subject.jelC89en
dc.subject.jelC49en
dc.subject.jelR10en
dc.subject.ddc330en
dc.subject.keywordmap intersectionen
dc.subject.keywordadministrative dataen
dc.subject.keywordmerging schemesen
dc.subject.keywordestimationen
dc.subject.stwRegionalstatistiken
dc.subject.stwAggregationen
dc.subject.stwGebietskörperschaften
dc.subject.stwSchätzungen
dc.subject.stwDeutschlanden
dc.titleMap Intersection Based Merging Schemes for Administrative Data Sources and an Application to Germany-
dc.typeWorking Paperen
dc.identifier.ppn487665236en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen
dc.identifier.repecRePEc:zbw:zewdip:3177en

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